A noise quantification evaluation method and system based on track acoustic roughness

Abstract

The application provides a noise quantitative evaluation method and system based on track acoustic roughness, relates to the field of track roughness influence test verification on vehicle radiation noise, and obtains a third corrected roughness spectrum through test data and related operation processing of track acoustic roughness of a track to be evaluated. The third corrected roughness spectrum is used to correct and calculate a revised noise spectrum through a sound pressure level spectrum of passing noise. An evaluation value of track roughness influence on noise is obtained through the revised noise spectrum and the sound pressure level spectrum of passing noise. The evaluation value is used to quantify additional noise generated by track surface acoustic roughness index exceeding the vehicle radiation noise. The evaluation value is compared with a preset value. If the acceptance requirement is met, the track to be evaluated is determined to meet the requirements of the noise test. The application can realize quantitative analysis of track acoustic roughness index deviation on noise to evaluate whether the track meets the requirements of the noise test.

Description

Technical Field

[0001] This application relates to the field of experimental verification of the impact of track roughness on vehicle radiated noise, and in particular to a noise quantification assessment method and system based on track acoustic roughness. Background Technology

[0002] With the rapid development of rail transit vehicles, the problem of vehicle radiated noise seriously affects the physical and mental health of passengers and residents along the lines, making the control of vehicle radiated noise a key concern. Vehicle radiated noise mainly originates from wheel-rail noise, which is determined by track acoustic roughness and track dynamic properties. Track surface acoustic roughness is one of the main causes of wheel-rail noise. Therefore, controlling the radiated noise of rail vehicles requires controlling track acoustic roughness. ISO 3095, developed by the International Organization for Standardization (ISO), sets limits for track roughness and specifies track acoustic roughness indicators. However, only a few testing institutions worldwide meet these indicators, and very few lines in China meet the roughness requirements of this standard. Therefore, how to quantitatively analyze the impact of track acoustic roughness deviations on noise levels to assess whether the track meets noise testing requirements is a technical problem urgently needing to be solved by those skilled in the art. Summary of the Invention

[0003] To address the aforementioned technical problems, this application provides a noise quantification assessment method based on track acoustic roughness, which enables quantitative analysis of noise levels caused by deviations in track acoustic roughness indices, thereby assessing whether the track meets noise testing requirements. This application also provides a noise quantification assessment system based on track acoustic roughness, achieving the same technical effect.

[0004] The first objective of this application is to provide a noise quantification assessment method based on track acoustic roughness.

[0005] The aforementioned objective of this application is achieved through the following technical solution:

[0006] A noise quantification assessment method based on track acoustic roughness includes:

[0007] Obtain test data on the acoustic roughness of the track to be evaluated;

[0008] Based on the test data, the first test roughness spectrum and the first corrected roughness spectrum are obtained;

[0009] The first test roughness spectrum and the first corrected roughness spectrum are processed to obtain the second test roughness spectrum and the second corrected roughness spectrum, and the third corrected roughness spectrum is obtained based on the second test roughness spectrum and the second corrected roughness spectrum.

[0010] Obtain the sound pressure level spectrum of the noise;

[0011] Based on the sound pressure level spectrum of the transmitted noise and the third corrected roughness spectrum, a revised noise spectrum is obtained, and based on the sound pressure level spectrum of the transmitted noise and the revised noise spectrum, an assessment value of the impact of track roughness on noise is obtained.

[0012] Determine whether the evaluated value is less than or equal to the preset value. If so, the track to be evaluated is deemed to meet the requirements of the noise test.

[0013] Preferably, in the noise quantization evaluation method based on track acoustic roughness, obtaining the first test roughness spectrum and the first corrected roughness spectrum based on the test data includes:

[0014] Based on the test data, the initial test roughness spectrum is obtained;

[0015] The initial test roughness spectrum is averaged twice to obtain the first test roughness spectrum;

[0016] The first corrected roughness spectrum is obtained based on the first test roughness spectrum and the preset limit spectrum.

[0017] Preferably, in the noise quantization evaluation method based on track acoustic roughness, the calculation formula for obtaining the first corrected roughness spectrum based on the first test roughness spectrum and the preset limit spectrum is as follows:

[0018]

[0019] in, The first test roughness spectrum; The preset limit spectrum; This is the spectrum of the first corrected roughness.

[0020] Preferably, in the noise quantization evaluation method based on track acoustic roughness, processing the first test roughness spectrum and the first corrected roughness spectrum to obtain the second test roughness spectrum and the second corrected roughness spectrum includes:

[0021] The wavelengths of the first test roughness spectrum and the first corrected roughness spectrum are converted into frequencies to obtain the converted test roughness spectrum and the converted corrected roughness spectrum.

[0022] Using a preset algorithm, the converted test roughness spectrum and the converted corrected roughness spectrum are processed to obtain a second test roughness spectrum and a second corrected roughness spectrum.

[0023] Preferably, in the noise quantization evaluation method based on track acoustic roughness, the formula for converting the wavelength of the first test roughness spectrum and the first corrected roughness spectrum into frequency is:

[0024]

[0025] in, It's the wavelength. The train speed is The frequency of time.

[0026] Preferably, in the noise quantization evaluation method based on track acoustic roughness, the calculation formula for obtaining the third corrected roughness spectrum based on the second test roughness spectrum and the second corrected roughness spectrum is as follows:

[0027]

[0028] in, This is the second test roughness spectrum; This is the spectrum of the second corrected roughness; This refers to the third corrected roughness spectrum.

[0029] Preferably, in the noise quantization assessment method based on track acoustic roughness, the formula for calculating the revised noise spectrum based on the sound pressure level spectrum of the transmitted noise and the third corrected roughness spectrum is as follows:

[0030]

[0031] in, The revised noise spectrum; The sound pressure level spectrum of the transmitted noise; This refers to the third corrected roughness spectrum.

[0032] Preferably, in the noise quantification assessment method based on track acoustic roughness, the calculation formula for obtaining the assessment value of the impact of track roughness on noise based on the sound pressure level spectrum of the transmitted noise and the revised noise spectrum is as follows:

[0033]

[0034] in, This is an assessment value for the impact of track roughness on noise; The revised noise spectrum; The sound pressure level spectrum of the transmitted noise; It represents the total energy of the spectrum.

[0035] Preferably, in the noise quantification evaluation method based on track acoustic roughness, the preset value is 1 dB.

[0036] The second objective of this application is to provide a noise quantification assessment system based on track acoustic roughness.

[0037] The second objective of this application is achieved through the following technical solution:

[0038] A noise quantization assessment system based on track acoustic roughness, comprising:

[0039] The first acquisition module is used to acquire test data of the acoustic roughness of the track to be evaluated.

[0040] The first processing module is used to obtain a first test roughness spectrum and a first corrected roughness spectrum based on the test data.

[0041] The second processing module is used to process the first test roughness spectrum and the first corrected roughness spectrum to obtain a second test roughness spectrum and a second corrected roughness spectrum, and to obtain a third corrected roughness spectrum based on the second test roughness spectrum and the second corrected roughness spectrum.

[0042] The second acquisition module is used to acquire the sound pressure level spectrum of the noise;

[0043] The third processing module is used to obtain a revised noise spectrum based on the sound pressure level spectrum of the passing noise and the third corrected roughness spectrum, and to obtain an evaluation value of the impact of track roughness on noise based on the sound pressure level spectrum of the passing noise and the revised noise spectrum.

[0044] The judgment module is used to determine whether the evaluation value is less than or equal to a preset value;

[0045] The determination module is used to determine that the track to be evaluated meets the requirements of the noise test when the evaluation value is less than or equal to the preset value.

[0046] The above technical solution obtains the first test roughness spectrum and the first corrected roughness spectrum from the test data of the track acoustic roughness of the track to be evaluated. The first test roughness spectrum and the first corrected roughness spectrum are then processed and converted to a standard spectral range to obtain the third corrected roughness spectrum. The third corrected roughness spectrum is used to correct the sound pressure level spectrum of the passing noise and obtain the revised noise spectrum. The revised noise spectrum and the sound pressure level spectrum of the passing noise are used to obtain an assessment value of the impact of track roughness on noise. This assessment value quantifies the additional noise generated by vehicle radiated noise due to the track surface acoustic roughness index exceeding the standard. The assessment value is compared with a preset value. If the acceptance requirements are met, the acoustic impact of the track roughness deviation is considered "minor," and the track to be evaluated is deemed to meet the requirements of the noise test.

[0047] In summary, the above technical solution can achieve quantitative analysis of the impact of track acoustic roughness deviation on noise when the track acoustic roughness deviates from the standard requirements, so as to assess whether the track meets the requirements of noise testing. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a flowchart illustrating a noise quantization assessment method based on track acoustic roughness provided in an embodiment of this application.

[0050] Figure 2 This is a flowchart illustrating the process of obtaining a first test roughness spectrum and a first corrected roughness spectrum as provided in an embodiment of this application.

[0051] Figure 3 This is a flowchart illustrating a first test roughness spectrum and a first corrected roughness spectrum processing procedure provided in an embodiment of this application.

[0052] Figure 4 This is a schematic diagram of a noise quantification evaluation system based on track acoustic roughness provided in an embodiment of this application. Detailed Implementation

[0053] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0054] In the embodiments provided in this application, it should be understood that the disclosed methods and systems can be implemented in other ways. The system embodiments described below are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple modules or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, and can be electrical, mechanical, or other forms.

[0055] Furthermore, in the various embodiments of the present invention, each functional unit can be integrated into a single processor, or each unit can be a separate device, or two or more units can be integrated into a single device; each functional unit in the various embodiments of the present invention can be implemented in hardware or in the form of hardware plus software functional units.

[0056] Those skilled in the art will understand that all or part of the steps of the following method embodiments can be implemented by program instructions and related hardware. The aforementioned program instructions can be stored in a computer-readable storage medium. When the program instructions are executed, they perform the steps of the following method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0057] The embodiments in this application are written in a progressive manner.

[0058] like Figure 1 As shown in the embodiment of this application, a noise quantification evaluation method based on track acoustic roughness is provided, including:

[0059] S101. Obtain test data on the acoustic roughness of the track to be evaluated;

[0060] In S101, the test data can be obtained by performing a track acoustic roughness test on the track to be evaluated. The specific method of obtaining the data does not affect the implementation of this embodiment.

[0061] S102. Based on the test data, obtain the first test roughness spectrum and the first corrected roughness spectrum;

[0062] In S102, the first test roughness spectrum can be the wavelength spectrum of the 1 / 3 octave band of the track acoustic roughness obtained from the test data. Correspondingly, the first corrected roughness spectrum can be the wavelength spectrum of the 1 / 3 octave band of the corrected track acoustic roughness, which can be obtained from the first test roughness spectrum.

[0063] S103. Process the first test roughness spectrum and the first corrected roughness spectrum to obtain the second test roughness spectrum and the second corrected roughness spectrum, and obtain the third corrected roughness spectrum based on the second test roughness spectrum and the second corrected roughness spectrum.

[0064] In S103, the first test roughness spectrum and the first corrected roughness spectrum are processed to obtain a second test roughness spectrum and a second corrected roughness spectrum. The purpose is to convert the first test roughness spectrum and the first corrected roughness spectrum (1 / 3 octave band wavelength spectrum) to a specific spectral range to obtain the second test roughness spectrum and the second corrected roughness spectrum that conform to standard IEC61260:1995. Based on the second test roughness spectrum and the second corrected roughness spectrum, a third corrected roughness spectrum is obtained, wherein the third corrected roughness spectrum is used to quantify the deviation of the track acoustic roughness spectrum.

[0065] S104. Obtain the sound pressure level spectrum of the noise;

[0066] In S104, the sound pressure level spectrum of the passing noise can be obtained through a vehicle pass-by noise test. The specific method of obtaining this spectrum does not affect the implementation of this embodiment. It should be noted that the execution order of S104 can be interchanged with that of S102 or S103, and S104 can also be executed simultaneously with S102 or S103 without affecting the implementation of this embodiment.

[0067] S105. Based on the sound pressure level spectrum of the passing noise and the third corrected roughness spectrum, a revised noise spectrum is obtained, and based on the sound pressure level spectrum of the passing noise and the revised noise spectrum, an evaluation value of the impact of track roughness on noise is obtained;

[0068] In S105, the sound pressure level spectrum of the passing noise is corrected using the third corrected roughness spectrum to obtain the revised noise spectrum. Based on the sound pressure level spectrum of the passing noise and the revised noise spectrum, an evaluation value of the impact of track roughness on noise can be calculated. The evaluation value is used to quantify the additional noise generated by the vehicle radiated noise due to the track surface acoustic roughness index exceeding the standard. The evaluation value can be the upper limit noise impact deviation value of the track acoustic roughness deviation.

[0069] S106. Determine whether the evaluated value is less than or equal to a preset value; if so, proceed to S107.

[0070] In S106, the evaluated value is compared with the preset value, which can be set according to actual production needs.

[0071] S107. The track to be evaluated is deemed to meet the requirements of the noise test.

[0072] In S107, if the evaluated value is less than or equal to the preset value, the acoustic effect of the track roughness deviation is considered "minor", and the track to be evaluated is deemed to meet the requirements of the noise test.

[0073] To address situations where the track acoustic roughness deviates from standard requirements, this embodiment obtains a first test roughness spectrum and a first corrected roughness spectrum from the test data of the track acoustic roughness of the track to be evaluated. These spectra are then processed and converted to the standard spectral range to obtain a third corrected roughness spectrum. This third corrected roughness spectrum is used to correct the sound pressure level spectrum of the passing noise and obtain a revised noise spectrum. Using the revised noise spectrum and the sound pressure level spectrum of the passing noise, an assessment value for the impact of track roughness on noise can be obtained. This assessment value quantifies the additional noise radiated by the vehicle due to the track surface acoustic roughness exceeding the standard. The assessment value is compared with a preset value. If the acceptance requirements are met, the acoustic impact of the track roughness deviation is considered "minor," and the track to be evaluated is deemed to meet the noise test requirements. In summary, this embodiment can achieve quantitative analysis of the impact of track acoustic roughness deviation on noise, thereby assessing whether the track meets the noise test requirements.

[0074] like Figure 2 As shown, based on the above embodiments, one implementation of obtaining the first test roughness spectrum and the first corrected roughness spectrum according to the test data may include the following steps:

[0075] S201. Based on the test data, obtain the initial test roughness spectrum;

[0076] In S201, the track acoustic roughness spectrum obtained from the test can be used as the initial test roughness spectrum, which still needs to be further processed.

[0077] S202. The initial test roughness spectrum is averaged twice to obtain the first test roughness spectrum;

[0078] In S202, the initial test roughness spectrum is averaged twice to obtain the energy average of the initial test roughness spectrum, and the mean square average spectrum of the track roughness is obtained. The mean square average spectrum of the track roughness is then used as the first test roughness spectrum.

[0079] S203. Based on the first test roughness spectrum and the preset limit spectrum, obtain the first corrected roughness spectrum.

[0080] In S203, the calculation formula for obtaining the first corrected roughness spectrum based on the first test roughness spectrum and the preset limit spectrum is as follows:

[0081]

[0082] in, The first test roughness spectrum; The preset limit spectrum; This is the spectrum of the first corrected roughness.

[0083] Specifically, the first test roughness spectrum can be the wavelength spectrum of the 1 / 3 octave band of the track acoustic roughness obtained through the test data; the preset limit spectrum can be a preset wavelength limit spectrum of the 1 / 3 octave band; and the first corrected roughness spectrum can be the wavelength spectrum of the 1 / 3 octave band of the corrected track acoustic roughness.

[0084] The preset limiting spectrum can be specifically referred to in Table 1:

[0085] Table 1. Limiting spectrum of track roughness

[0086]

[0087] like Figure 3 As shown, based on the above embodiments, one implementation of processing the first test roughness spectrum and the first corrected roughness spectrum to obtain the second test roughness spectrum and the second corrected roughness spectrum may include the following steps:

[0088] S301. Convert the wavelengths of the first test roughness spectrum and the first corrected roughness spectrum into frequencies to obtain the converted test roughness spectrum and the converted corrected roughness spectrum.

[0089] In S301, the formula for converting the wavelength of the first test roughness spectrum and the first corrected roughness spectrum into frequency is as follows:

[0090]

[0091] in, It's the wavelength. The train speed is The frequency of time.

[0092] S302. Using a preset algorithm, process the converted test roughness spectrum and the converted corrected roughness spectrum to obtain a second test roughness spectrum and a second corrected roughness spectrum.

[0093] In S302, in order to further obtain a spectrum conforming to standard IEC61260:1995, the converted test roughness spectrum and the converted corrected roughness spectrum can be processed according to the algorithm provided in Appendix B of EN15610:2009, and the energy in each frequency band is distributed into the standard spectrum to obtain the second test roughness spectrum and the second corrected roughness spectrum.

[0094] Based on the above embodiments, the calculation formula for obtaining the third corrected roughness spectrum according to the second test roughness spectrum and the second corrected roughness spectrum is as follows:

[0095]

[0096] in, This is the second test roughness spectrum; This is the spectrum of the second corrected roughness; This refers to the third corrected roughness spectrum.

[0097] Specifically, the second test roughness spectrum can be a 1 / 3 octave spectrum of the measured track acoustic roughness; the second corrected roughness spectrum can be a 1 / 3 octave spectrum of the corrected track acoustic roughness; and the third corrected roughness spectrum can be a 1 / 3 octave corrected spectrum.

[0098] Based on the above embodiments, the formula for calculating the revised noise spectrum based on the sound pressure level spectrum of the transmitted noise and the third corrected roughness spectrum is as follows:

[0099]

[0100] in, The revised noise spectrum; The sound pressure level spectrum of the transmitted noise; This refers to the third corrected roughness spectrum.

[0101] Based on the above embodiments, the calculation formula for obtaining the assessment value of the impact of track roughness on noise based on the sound pressure level spectrum of the transmitted noise and the revised noise spectrum is as follows:

[0102]

[0103] in, This is an assessment value for the impact of track roughness on noise; The revised noise spectrum; The sound pressure level spectrum of the transmitted noise; It represents the total energy of the spectrum, that is, the total energy of the sound pressure levels in all relevant 1 / 3 octave bands.

[0104] Based on the above embodiments, one implementation method for determining whether the evaluation value is less than or equal to a preset value, and if so, determining that the track to be evaluated meets the requirements of the noise test, may include the following steps:

[0105] S401. Determine the evaluation value. Check if it is less than or equal to a preset value; if so, execute S402.

[0106] In S401, the preset value can preferably be 1dB.

[0107] S402. The track to be evaluated is deemed to meet the requirements of the noise test.

[0108] It should be noted that in the noise quantification evaluation method based on track acoustic roughness in the above embodiments, the noise quantification process is related to the vehicle speed. The compliance of the noise at each speed can be checked based on this method.

[0109] like Figure 4 As shown, in another embodiment of this application, a noise quantification evaluation system based on track acoustic roughness is also provided, comprising:

[0110] The first acquisition module 10 is used to acquire test data of the acoustic roughness of the track to be evaluated;

[0111] The first processing module 11 is used to obtain a first test roughness spectrum and a first corrected roughness spectrum based on the test data.

[0112] The second processing module 12 is used to process the first test roughness spectrum and the first corrected roughness spectrum to obtain a second test roughness spectrum and a second corrected roughness spectrum, and to obtain a third corrected roughness spectrum based on the second test roughness spectrum and the second corrected roughness spectrum.

[0113] The second acquisition module 13 is used to acquire the sound pressure level spectrum of the noise;

[0114] The third processing module 14 is used to obtain a revised noise spectrum based on the sound pressure level spectrum of the passing noise and the third corrected roughness spectrum, and to obtain an evaluation value of the impact of track roughness on noise based on the sound pressure level spectrum of the passing noise and the revised noise spectrum.

[0115] The judgment module 15 is used to determine whether the evaluation value is less than or equal to a preset value;

[0116] The identification module 16 is used to identify the track to be evaluated as meeting the requirements of the noise test when the evaluation value is less than or equal to the preset value.

[0117] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for noise quantification evaluation based on track acoustic roughness, characterized in that, The method comprises the following steps: obtaining test data of track acoustic roughness of a track to be evaluated; obtaining a first test roughness spectrum and a first corrected roughness spectrum according to the test data; processing the first test roughness spectrum and the first corrected roughness spectrum to obtain a second test roughness spectrum and a second corrected roughness spectrum, and obtaining a third corrected roughness spectrum according to the second test roughness spectrum and the second corrected roughness spectrum; obtaining a sound pressure level spectrum of passing noise; obtaining a revised noise spectrum according to the sound pressure level spectrum of passing noise and the third corrected roughness spectrum, and obtaining an evaluation value of the influence of track roughness on noise according to the sound pressure level spectrum of passing noise and the revised noise spectrum; determining whether the evaluation value is less than or equal to a preset value, and if so, determining that the track to be evaluated meets the requirements of a noise test; wherein the calculation formula for obtaining the third corrected roughness spectrum according to the second test roughness spectrum and the second corrected roughness spectrum is: ； wherein, is the second test roughness spectrum; is the second corrected roughness spectrum; is the third corrected roughness spectrum; the calculation formula for obtaining the revised noise spectrum according to the sound pressure level spectrum of passing noise and the third corrected roughness spectrum is: ； wherein, is the revised noise spectrum; is the sound pressure level spectrum of the pass-by noise. the calculation formula for obtaining the evaluation value of the influence of track roughness on noise according to the sound pressure level spectrum of passing noise and the revised noise spectrum is: ； wherein is an evaluation value of the influence of the track roughness on the noise; denotes the sum of the energy of the spectrum.

2. The method of claim 1, wherein, obtaining the first test roughness spectrum and the first corrected roughness spectrum according to the test data comprises: obtaining an initial test roughness spectrum according to the test data; obtaining a first test roughness spectrum by twice averaging the initial test roughness spectrum; obtaining a first corrected roughness spectrum according to the first test roughness spectrum and a preset limit spectrum.

3. The method of claim 2, wherein, The calculation formula for obtaining the first corrected roughness spectrum according to the first test roughness spectrum and the preset limit spectrum is: wherein, is the first test roughness spectrum; is the preset limit spectrum; is the first corrected roughness spectrum.

4. The method of claim 3, wherein, processing the first test roughness spectrum and the first corrected roughness spectrum to obtain a second test roughness spectrum and a second corrected roughness spectrum comprises: converting the wavelengths of the first test roughness spectrum and the first corrected roughness spectrum into frequencies to obtain a converted test roughness spectrum and a converted corrected roughness spectrum; processing the converted test roughness spectrum and the converted corrected roughness spectrum by using a preset algorithm to obtain a second test roughness spectrum and a second corrected roughness spectrum.

5. The method of claim 4, wherein, The formula for converting the wavelengths of the first test roughness spectrum and the first corrected roughness spectrum into frequencies is: ； wherein, is the wavelength, is the frequency when the train speed is v.

6. The method of any one of claims 1-5, wherein, The preset value is 1 dB.

7. A system for noise quantification assessment based on track acoustic roughness, characterized by, The method is applied to the noise quantitative evaluation method based on track acoustic roughness according to claim 1, and comprises the following steps: a first obtaining module is configured to obtain test data of track acoustic roughness of a track to be evaluated; a first processing module is configured to obtain a first test roughness spectrum and a first corrected roughness spectrum according to the test data; The second processing module is configured to process the first test roughness spectrum and the first corrected roughness spectrum to obtain a second test roughness spectrum and a second corrected roughness spectrum, and obtain a third corrected roughness spectrum according to the second test roughness spectrum and the second corrected roughness spectrum; The second acquisition module is configured to acquire a sound pressure level spectrum of the passing noise; The third processing module is configured to obtain a revised noise spectrum according to the sound pressure level spectrum of the passing noise and the third corrected roughness spectrum, and obtain an evaluation value of the influence of the track roughness on the noise according to the sound pressure level spectrum of the passing noise and the revised noise spectrum; The judging module is configured to judge whether the evaluation value is less than or equal to a preset value; The determining module is configured to determine that the track to be evaluated meets the requirements of the noise test when the evaluation value is less than or equal to the preset value.

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